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Course Outline
Introduction to ODI and Architecture
- ODI fundamentals: the ELT approach and how it differs from traditional ETL
- Key components: Repositories, Agents, Topology, and Security
- Overview of installation and environment structure
ODI Studio and Development Tools
- Guided navigation of ODI Studio: Designer, Topology, Operator, and Security sections
- Managing Projects, Models, and Datastores
- Utilizing reverse-engineered metadata
Designing Mappings and Interfaces
- Constructing mappings via the graphical interface and ODI components
- Incorporating procedures, variables, and packages into mappings
- Strategies for error handling and data validation
Knowledge Modules and ELT Execution
- Comprehending Knowledge Modules (KMs) and their respective categories
- Selecting and adapting KMs for various target systems
- Performance factors and push-down optimization techniques
Topology, Security, and Connectivity
- Setting up physical and logical schemas along with data servers
- Agent types, configuration, and fundamentals of high availability
- Security configuration: users, profiles, and repository safeguards
Scheduling, Deployment, and Operations
- Packaging and releasing scenarios
- Scheduling methodologies and integration with external schedulers
- Job monitoring and troubleshooting using Operator and Logs
Advanced Techniques and Integration Patterns
- CDC patterns, incremental loading, and change data capture methods
- Integration with Big Data sources and Hadoop ecosystems
- Best practices for creating modular and maintainable integration projects
Hands-on Labs and Real-World Application
- Comprehensive lab: designing, implementing, and deploying an ODI scenario
- Performance tuning lab: diagnosing and optimizing a slow mapping
- Case study analysis: architectural decisions and key takeaways
Summary and Next Steps
- Recap of essential ODI concepts and integration design principles
- Discussion on production deployment strategies and optimization methods
- Exploration of advanced learning paths and certification opportunities
Requirements
- A solid grasp of relational database concepts
- Practical experience with SQL
- Familiarity with ETL or general data integration principles
Target Audience
- ETL/Data integration developers
- Data architects and engineers
- DBAs and middleware engineers tasked with integration solutions
35 Hours
Testimonials (3)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
presentation skills, prompt answers to all questions
Oana - OPEN COURSE
Course - Oracle SQL LP - Fundamentals
it was structured very well both by days and by modules, easy to follow